Neuropsychological differentiation of children and adults with and without non-psychotic, unipolar major depressive disorder.
Notice bibliographique
Résumé
The current investigation was conducted to see if it would be possible to differentiate groups of participants with and without depression based on data from a comprehensive neuropsychological assessment. The first goal was to apply cluster analytic algorithms to the neuropsychological data for participants with and without depression. This was conducted in separate procedures for the child and adult groups. The second goal was to examine the internal validity of the groups, using multiple clustering algorithms. The third goal was to examine if internally valid solutions represented groups or subgroups that were comprised by a large majority of participants with a diagnosis of depression. Participants in the study were two hundred and ninety-four clients referred by neurologists in the greater Indianapolis, Indiana area, to an independent clinic for neuropsychological evaluation. Cluster analyses utilizing neuropsychological data yielded reliable and technically valid cluster solutions for both the child and adult data. The child and adult cluster solutions were characterized by performance level across most subtests of the neuropsychological battery, with a greater division of performance levels present in the adult cluster solutions. Both the child and adult solutions were comprised of clusters that did not differ significantly with respect to a diagnosis of depression. Therefore, the technically valid cluster analyses utilized in the current investigation, conducted on data from a comprehensive neuropsychological evaluation, did not differentiate, in a statistically significant way, participants with and without a diagnosis of depression in both the child and adult groups. Additional cluster analyses conducted with only sensorimotor data identified cluster solutions that were characterized by unique patterns of finger tapping performance and grip strength. Both child and adult solutions in the additional analyses were not comprised of clusters that differed significantly regarding a diagnosis of depression. Thus, the technically valid solutions from the additional analyses in the current investigation, conducted on sensorimotor data, also did not differentiate, in a statistically significant way, participants with and without a diagnosis of depression in both the child and adult groups. The implications, limitations, and future research considerations arising from the current investigation were discussed.Dept. of Psychology. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis2004 .A36. Source: Dissertation Abstracts International, Volume: 66-02, Section: B, page: 1159. Adviser: Byron Rourke. Thesis (Ph.D.)--University of Windsor (Canada), 2004.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».